Real-time and machine learning-based deep analytics are becoming important in Big data analytics. Jubatus is the first OSS platform for scale-out deep analytics with distributed computation. It uses a unique architecture for distributed and online machine learning based on three fundamental operations, UPDATE, MIX, and ANALYZE, for efficient model training, sharing, and applying. The point is to share not data samples but only trained models by MIX to achieve both high scalability and fast convergence. Jubatus currently supports most of machine learning tasks including classification, regression, recommendation, and outlier detection.

Changes to previous version:

0.5.0 add new supports for clustering and nearest neighbors. For more detail, see http://t.co/flMcTcYZVs